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Digital Quantification of Human Viral RNA and DNA Using a Self-Digitization Chip.
Wang, Jiasi; Kreutz, Jason E; Chiu, Daniel T.
Affiliation
  • Wang J; Department of Chemistry, University of Washington, Seattle, WA, USA.
  • Kreutz JE; Department of Chemistry, University of Washington, Seattle, WA, USA.
  • Chiu DT; Department of Chemistry, University of Washington, Seattle, WA, USA. chiu@uw.edu.
Methods Mol Biol ; 2393: 279-295, 2022.
Article in En | MEDLINE | ID: mdl-34837185
Digital nucleic acid quantitation methods show excellent sensitivity and specificity for pathogen detection. Droplet digital PCR (ddPCR) is the most advanced digital nucleic acid quantitation method and has been commercialized, but is not suitable for many point-of-care applications due to its complex instrumentation. Here we describe a simple microfluidics-based self-digitization (SD) chip for quantifying nucleic acids at the point of care with minimal instrumentation. We demonstrate the clinical diagnostic capability of this platform by applying it to quantifying human viral DNA and RNA. SD chips with a range of well numbers and volumes are tested, and isothermal methods are used to amplify the DNA and RNA to a detectable level. Sample concentration is determined based on the measured volume in the wells and the number of wells with fluorescence greater than a threshold based on a Poisson distribution. Concentration measurements over the low concentration range of 0-100 molecules/µL showed a strong correlation (R2 = 0.99) with measurements using a real-time PCR assay, demonstrating the sensitivity and specificity of the SD chip platform.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA, Viral / RNA, Viral Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: DNA, Viral / RNA, Viral Limits: Humans Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2022 Document type: Article Affiliation country: United States Country of publication: United States